Every year, there is more demand for data analysts and researchers than people with the right abilities to fill those roles. In fact, as per the US Bureau of Labor Statistics, the number of job opportunities for experts is supposed to grow by 23% between 2021 and 2031, essentially higher than the 5% average job growth projected for all positions in the country. Although capability in SQL and Tableau is undoubtedly essential for a data analyst, it may not be sufficient to work as a data analyst at a tech company.

Tech companies commonly have extensive and complex data sets, and the capacity to extract insights from these data sets requires a range of Data Aggregation Tools & Analysis skills beyond just SQL and Tableau. For example, you might have to utilize tools like Python or R to conduct statistical analysis, data modelling, or AI. Also, you might know about data sets past SQL, for example, NoSQL databases like MongoDB.

Therefore, if you want to expand your impact in the workforce and become a more marketable candidate, fine-tuning your data analytics skills could transform you into the coveted employee organizations are frantic for. Before finding out about a portion of the sought-after skills, you could add to your resume, looking into what the future holds for data analytics professionals is a good idea.

Data Analytics Jobs Have a Bright Future

In recovering and analyzing data, data analytics professionals reach meaningful conclusions that can fundamentally affect business initiatives. The World Economic Forum’s The Future of Jobs Report 2018 recognizes that data analysts are required across enterprises, from healthcare to financial services. The significance of the role is additionally unmistakable across geographic areas. Demand is growing in North America, Asia and Europe alike.

The demand for data analytics experts is growing quicker than ever, with all data showing that will stay the case indefinitely. Industries of every type recognize that having the option to analyze big data presents opportunities for sales, marketing, human resources and other essential business areas.

Here Are the Top 7 In-Demand Analytics Skills to be a Data Analyst

As a data analyst, you can acquire several in-demand analytics skills to become more competitive in the job market. Here are some of them:

Programming Skills

While SQL is the most commonly used language in data analysis, programming skills in languages such as Python and R are increasingly in demand. These languages are particularly useful in machine learning, modelling, and visualization.

Data Modeling

Data modelling creates a conceptual representation of data structures and relationships. To become a good data analyst, you should be able to create models that help stakeholders understand complex data sets.

Data Wrangling

Data wrangling refers to the process of cleaning and transforming data so that it is in a format that can be easily analyzed. This includes handling missing data, dealing with outliers, and converting data types.

Statistical Analysis

Statistical analysis involves using mathematical and statistical methods to analyze data. This includes hypothesis testing, regression analysis, and data clustering.

Data Visualization

Tableau is a popular tool for data visualization, but there are other tools you can learn, such as Power BI, D3.js, and Python libraries like Matplotlib and Seaborn. Creating compelling visualizations that effectively communicate insights to stakeholders is a crucial skill for a data analyst.

Proficiency in Spreadsheet Knowledge

Excel is a widely used spreadsheet software that allows data analysts to perform various data analysis tasks such as filtering, sorting, and creating charts.

Machine Learning

As machine learning continues to grow in popularity, data analysts who can understand and apply machine learning techniques are increasingly in demand. This includes skills such as data preparation, feature engineering, model training, and evaluation.

Conclusion

Data Analysts are predicted to be in high demand as they are required across all domains. The study of the origin of data, its possible inferences, distortions, and perspectives will be the job of the future, which means SQL and Tableau are essential skills for a data analyst. But they may not be enough to work as a data analyst at tech organizations. You may need to acquire additional skills such as statistical analysis, data modelling, machine learning, data visualization, and strong communication and collaboration skills.